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人类导航过程中注视点处的图像统计信息。

Image statistics at the point of gaze during human navigation.

作者信息

Rothkopf Constantin A, Ballard Dana H

机构信息

Center for Visual Science, Department of Brain and Cognitive Sciences, University of Rochester, Rochester, New York, USA.

出版信息

Vis Neurosci. 2009 Jan-Feb;26(1):81-92. doi: 10.1017/S0952523808080978.

DOI:10.1017/S0952523808080978
PMID:19309533
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2929959/
Abstract

Theories of efficient sensory processing have considered the regularities of image properties due to the structure of the environment in order to explain properties of neuronal representations of the visual world. The regularities imposed on the input to the visual system due to the regularities of the active selection process mediated by the voluntary movements of the eyes have been considered to a much lesser degree. This is surprising, given that the active nature of vision is well established. The present article investigates statistics of image features at the center of gaze of human subjects navigating through a virtual environment and avoiding and approaching different objects. The analysis shows that contrast can be significantly higher or lower at fixation location compared to random locations, depending on whether subjects avoid or approach targets. Similarly, significant differences in the distribution of responses of model simple and complex cells between horizontal and vertical orientations are found over timescales of tens of seconds. By clustering the model simple cell responses, it is established that gaze was directed toward three distinct features of intermediate complexity the vast majority of time. Thus, this study demonstrates and quantifies how the visuomotor tasks of approaching and avoiding objects during navigation determine feature statistics of the input to the visual system through the combined influence on body and eye movements.

摘要

高效感官处理理论考虑了由于环境结构导致的图像属性规律,以解释视觉世界神经元表征的属性。然而,由于眼睛的自主运动介导的主动选择过程的规律性而施加于视觉系统输入的规律,在很大程度上未得到充分考虑。鉴于视觉的主动性已得到充分确立,这一点令人惊讶。本文研究了人类受试者在虚拟环境中导航、避开和接近不同物体时,注视中心的图像特征统计。分析表明,与随机位置相比,注视位置的对比度可能显著更高或更低,这取决于受试者是避开还是接近目标。同样,在数十秒的时间尺度上,发现模型简单细胞和复杂细胞在水平和垂直方向上的反应分布存在显著差异。通过对模型简单细胞反应进行聚类,确定绝大多数时间注视都指向三个具有中等复杂性的不同特征。因此,本研究证明并量化了在导航过程中接近和避开物体的视觉运动任务如何通过对身体和眼睛运动的综合影响来确定视觉系统输入的特征统计。